Senior Data Engineer (SQL, Python, PySpark, AWS)
Job Description
Job DescriptionJob Title: Senior Data Engineer (SQL, Python, PySpark, AWS)
Work Location: Englewood, CO 80111 - Hybrid
Vendor Rate: $52/hr
Contract duration: 12 Months
Interview Process (Is face to face required?): Yes
Must Have Skills
Strong SQL skills with experience in query Eligible to workimization and performance tuning. Handson experience with Python, Pandas, and PySpark.
Proficiency in BashShell scripting for automation. Experience working with AWS (S3, EC2)
Solid understanding of data modeling principles and ETL processes
Nice to have skills
Experience with largescale data platforms and distributed data processing.
Familiarity with data warehousing and cloud native architectures.
Detailed Job Description
Must Have Skills Strong SQL skills with experience in query Eligible to workimization and performance tuning. Handson experience with Python, Pandas, and PySpark. Proficiency in BashShell scripting for automation. Experience working with AWS S3, EC2. Solid understanding of data modeling principles and ETL processes. Nice to Have Skills Experience with largescale data platforms and distributed data processing. Familiarity with data warehousing and cloud native architectures. Data Engineer Job Description We are seeking a Data Engineer with strong expertise in SQL, Python, and cloud based data processing. The ideal candidate will be responsible for developing, Eligible to workimizing, and maintaining scalable data pipelines and supporting analytics initiatives. Key Responsibilities Develop and Eligible to workimize complex SQL queries, including query tuning and use of window functions. Build and maintain data processing workflows using Python Pandas, PySpark. Create automation scripts using BashShell scripting. Work with AWS services, including S3 and EC2, for data storage and processing. Design and implement efficient data models to support reporting and analytics requirements. Collaborate with cross functional teams to ensure data quality, performance, and scalability.
Minimum years of experience: 8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Develop and Eligible to workimize complex SQL queries, including query tuning and use of window functions. Build and maintain data processing workflows using Python Pandas, PySpark.
Create automation scripts using BashShell scripting. Work with AWS services, including S3 and EC2, for data storage and processing.
Design and implement efficient data models to support reporting and analytics requirements.